Results 231 to 240 of about 768,505 (310)
Aging Is a Key Driver for Adult Acute Myeloid Leukemia
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley +1 more source
Auditing and Monitoring Artificial Intelligence Systems in Healthcare: A Multilayer Framework for Bias Detection, Explainability, and Regulatory Compliance. [PDF]
Palama V +5 more
europepmc +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
State of the Art of Artificial Intelligence in Plastic Surgery. [PDF]
Kenig N +3 more
europepmc +1 more source
Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss +12 more
wiley +1 more source
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook.
Athni TS.
europepmc +1 more source
Large Language Models in Surgery: Promise, Pitfalls, and Practical Use. [PDF]
Denham DT +4 more
europepmc +1 more source

